Power system harmonics estimation using LMS, LMF and LMS/LMF
Recently, in the world wide the use of power electronics devices increases sharply. As a result, harmonic pollution becomes a vital problem than before. Harmonics rotate in the power system network and interfere with the system equipments, disturbing their normal operation which can deteriorate the...
保存先:
| 主要な著者: | , , , |
|---|---|
| フォーマット: | Conference or Workshop Item |
| 出版事項: |
IEEE Computer Society
2014
|
| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906330415&doi=10.1109%2fICIAS.2014.6869521&partnerID=40&md5=6d75e9fa8103d98948018eaf07ddb0c4 http://eprints.utp.edu.my/32164/ |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|
| 要約: | Recently, in the world wide the use of power electronics devices increases sharply. As a result, harmonic pollution becomes a vital problem than before. Harmonics rotate in the power system network and interfere with the system equipments, disturbing their normal operation which can deteriorate the quality of the delivered power. Therefore, efficient method with low computational time is a critical tool to estimate and quantify the harmonic that can be used in online control and mitigation of harmonics. Least Mean Square (LMS) is simple and popular algorithm that has been applied in many applications, but, noise can affect its performance. This paper presents and compare the performance of Least Mean Square (LMS), Least Mean Fourth (LMF) and a combined (LMS/LMF) in estimation harmonic component for the signal corrupted with noise contain low signal to noise ratio (SNR). The results show that LMF and LMS/LMF have better steady state performance as compared to LMS. © 2014 IEEE. |
|---|